Publication detail

Automated design of vehicle silhouette using genetic algorithms and statistical analysis

ŠKAROUPKA, D. ŠANDERA, Č.

English title

Automated design of vehicle silhouette using genetic algorithms and statistical analysis

Type

Peer-reviewed article not indexed in WoS or Scopus

Language

en

Original abstract

This paper describes a method for the automatic design of vehicle silhouettes. Along history many different vehicles have been created, but most of them share the same features. We can extract these features through statistical analysis (principal component analysis) and use them for building the shape of a vehicles silhouette. To produce the new original silhouettes we utilize optimization method (a genetic algorithm) which fits the new silhouette to the prescribed physical conditions, e.g. space for the engine, space for the passengers etc. This algorithm serves as a source of inspiration for human designers and can be generalized to producing arbitrary kind of products.

Keywords in English

vehicle design, vehicle styling, product design, styling, PCA (principal component analysis), genetic algorithms, Design and Product Development

Released

2011-11-30

Publisher

MECCA

Location

Praha

ISSN

1214-0821

Journal

MECCA – Journal of Middle European Costruction and Design of Cars

Volume

2011

Number

3

Pages from–to

1–5

Pages count

5

BIBTEX


@article{BUT50621,
  author="David {Škaroupka} and Čeněk {Šandera}",
  title="Automated design of vehicle silhouette using genetic algorithms and statistical analysis",
  journal="MECCA - Journal of Middle European Costruction and Design of Cars",
  year="2011",
  volume="2011",
  number="3",
  pages="1--5",
  issn="1214-0821"
}